Advanced AI Leader

Our vision is to empower innovative professionals with the skills and expertise needed to succeed in their careers. We are seeking a seasoned Technical Lead with exceptional leadership abilities, technical prowess, and a passion for Artificial Intelligence (AI) and Large Language Models (LLMs). The successful candidate will lead our AI and LLM initiatives, overseeing the design, development, and deployment of cutting-edge technologies that drive business growth and excellence.

The ideal candidate possesses a strong foundational knowledge of traditional machine learning and deep neural networks, as well as hands-on experience with Azure AI services, Python, and popular machine learning libraries such as TensorFlow, PyTorch, and Keras. A rich understanding of Retrieval-Augmented Generation (RAG), vector databases, and embedding techniques is essential, as is proficiency in designing, developing, and deploying advanced Gen AI solutions. Experience with CI/CD pipelines and tools like Jenkins or GitHub Actions is highly valued.

As a Technical Lead, you will be responsible for providing technical leadership and mentorship to a team of developers, ensuring best practices in Gen AI development. You will collaborate with data engineers to ensure efficient data collection, preprocessing, and management for AI applications. Your expertise will shape the future of our organization through innovation and continuous learning.

Join us on this exciting journey and contribute your skills and experience to help us achieve greatness.

• Lead the design, development, and deployment of LLM models and Gen AI applications
• Possess a strong foundational knowledge in traditional machine learning and deep neural networks
• Leverage Azure AI services to build and deploy AI/Gen AI applications
• Demonstrate strong proficiency in Python and have experience with machine learning/LLM/Gen AI libraries and frameworks such as TensorFlow, PyTorch, Keras, Langchain and NLP tools like SpaCy, NLTK
• Have hands-on experience with LlamaIndex, LangChain, or equivalent frameworks
• Carry a rich experience in designing, developing, and deploying advanced Retrieval-Augmented Generation (RAG) based Gen AI solutions
• Possess a strong understanding of LLMs, vector databases (like Chroma, Pinecone, Azure Cognitive Search), and embedding techniques
• Evaluate and implement different embedding models (Azure OpenAI, Cohere, etc.) and chunking strategies (fixed size, overlap-based etc.)
• Design and implement agentic AI systems that can autonomously perform tasks, make decisions, and interact with other systems or users effectively
• Have experience in applying advanced fine-tuning methods such as Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Pattern-Exploiting Training (PET) to optimize open-source models for specific tasks
• Familiarity with CI/CD pipelines and tools such as Jenkins, Github Actions or similar
• Collaborate with data engineers to ensure efficient data collection, preprocessing, and management for AI applications
• Provide technical leadership and mentorship to a team of developers, ensuring best practices in Gen AI development

• Total Experience 13-15 years; Gen AI Experience – 5 + years
• Master's degree in computer science, Information Technology

• Industry leader: We are a world leader in the insurance industry, powered by underwriting and engineering excellence
• A Great Place to work: Our company has been recognized as a Great Place to Work for the years 2023-2024 and 2024-2025
• Laser focus on excellence: We pride ourselves on our culture of greatness where excellence is a mindset and a way of being
• Start-Up Culture: Embracing the spirit of a start-up, we focus on speed and agility, enabling us to respond swiftly to market requirements
• Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment

• Savings and Investment plans: We provide specialized benefits like Corporate NPS, Employee Stock Purchase Plan, Long-Term Incentive Plan, Retiral Benefits and Car Lease
• Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs
• Health and Welfare Benefits: We care about our employees' well-being in and out of work and have benefits like Employee Assistance Program, Yearly Free Health campaigns and comprehensive Insurance benefits

• Step 1: Submit your application via our Careers Portal
• Step 2: Engage with our recruitment team for an initial discussion
• Step 3: Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable)
• Step 4: Final interaction with our leadership